1290 posts · Page 72 of 108. ← Blog
Modeling post-delinquency treatment paths — reminders, restructuring, settlement offers, and the charge-off handoff — as a state machine you can reason about.
Model post-delinquency treatment paths: reminders, restructuring, settlement offers, and charge-off/agency handoff.
A document and liveness pipeline that emits a graded pass, refer, or fail instead of a coin-flip yes/no.
Build a document + liveness/biometric identity-verification pipeline that returns a graded decision.
Turn AML alerts into investigated cases and filed SAR/STR reports, complementing rule-based monitoring.
Turn AML alerts into investigated cases and filed SAR/STR reports, complementing rule-based monitoring.
How ADK turns "did the agent behave correctly?" into a number you can gate a merge on.
Measuring agent quality: eval sets, scoring both the trajectory (right tools, right order) and the final response, criteria configs, and the adk eval CLI — a Python-first workflow today.
How WithTelemetry instruments a whole workflow with OpenTelemetry spans, then agentworkflow.NewAgent wraps the graph so it behaves like one agent.
WithTelemetry instruments a French-to-English workflow with OpenTelemetry spans, then agentworkflow.NewAgent wraps the graph so RunText drives the whole pipeline.
A Session threads history into each run; a ContextProvider carries memory across sessions — and because a Session is JSON, both survive a process restart.
A Session threads history into each run and a ContextProvider carries memory across sessions. Because a Session is JSON, both survive a process restart.
A forecast of "1,000 units next week" is almost useless without knowing whether the real range is 950–1,050 or 200–1,800. The future is uncertain, and a point forecast that hides that uncertainty leads to confidently wrong decisions. Probabilistic forecasting predicts the distribution of outcomes, not just a single number — and for most real decisions, that uncertainty is more valuable than the point estimate itself. This post is about forecasting honestly.
A point forecast hides the thing decisions need: how uncertain it is. Probabilistic forecasting predicts the distribution — prediction intervals, quantiles — via classical analytic intervals, quantile regression, or simulation. Uncertainty grows with the horizon, and calibration checks whether your stated confidence is honest.
Content and brand build awareness and trust over time, but at some point marketing has to do something more direct: actively create interest and move people toward becoming customers. That's demand generation — the engine that fills the pipeline and converts attention into customers. It's the most measurable part of marketing, which makes it beloved by analytical teams, and also the part where a narrow focus on measurable tactics can quietly undermine the brand and long-term demand that make it work.
At some point marketing has to do something direct: actively create interest and move people toward becoming customers. That's demand generation — the engine that fills the pipeline. It's the most measurable part of marketing, which makes it beloved by analytical teams, and also where a narrow focus on measurable tactics can undermine the brand that makes it work.
How Go turns "what a value can do" into a first-class type — with implicit satisfaction, small contracts, the consumer-defined-interface rule, and the typed-nil trap that catches everyone once.
How Go turns "what a value can do" into a first-class type — with implicit satisfaction, small contracts, the consumer-defined-interface rule, and the typed-nil trap that catches everyone once.
Why tax lots, not positions, are the real unit of a brokerage ledger — and how to make disposal deterministic.
Tracking tax lots across buys/sells for securities and crypto, FIFO/LIFO/specific-identification, wash sales, and realized/unrealized gain.
Checkout-time soft credit checks, upfront merchant settlement, and the installment collection loop that carries the real risk.
Engineer a 4-installment BNPL flow: checkout-time soft credit check, upfront merchant settlement, and installment collection.
Design a loan origination pipeline from application through underwriting, offer, and disbursal.
Design a loan origination pipeline from application through underwriting, offer, and disbursal.